Training complete

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1875
-- Precision: 0.7732
-- Recall: 0.8320
-- F1: 0.8015
-- Accuracy: 0.9422
+- Loss: 0.1821
+- Precision: 0.7700
+- Recall: 0.8331
+- F1: 0.8003
+- Accuracy: 0.9436
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.2206        | 1.0   | 2078 | 0.2075          | 0.7275    | 0.8129 | 0.7678 | 0.9321   |
-| 0.1758        | 2.0   | 4156 | 0.1818          | 0.7493    | 0.8208 | 0.7834 | 0.9419   |
-| 0.1395        | 3.0   | 6234 | 0.1875          | 0.7732    | 0.8320 | 0.8015 | 0.9422   |
+| 0.2183        | 1.0   | 2078 | 0.2050          | 0.7135    | 0.8089 | 0.7582 | 0.9323   |
+| 0.1742        | 2.0   | 4156 | 0.1773          | 0.7461    | 0.8318 | 0.7866 | 0.9422   |
+| 0.1407        | 3.0   | 6234 | 0.1821          | 0.7700    | 0.8331 | 0.8003 | 0.9436   |
 
 
 ### Framework versions